ESTIMATING MULTIDIMENSIONAL ITEM RESPONSE MODELS WITH MIXED STRUCTURE

Research output: Contribution to journalArticle

Abstract

This study derived an expectation‐maximization (EM) algorithm for estimating the parameters of multidimensional item response models. A genetic algorithm (GA) was developed to be used in the maximization step in each EM cycle. The focus of the EM‐GA algorithm developed in this paper was on multidimensional items with mixed structure. Simulated item response data were generated and then estimated by a computer program based on the EM‐GA algorithm. The simulation results demonstrate that the EM‐GA algorithm is a very promising approach in estimating multidimensional item response model parameters.
Original languageEnglish (US)
Pages (from-to)i-38
JournalETS Research Report Series
Volume2005
Issue number1
DOIs
StatePublished - Jun 1 2005
Externally publishedYes

Keywords

  • genetic algorithm
  • GA
  • EM-GA algorithm
  • ASSEST
  • estimation
  • multidimensional item response theory
  • MIRT
  • mixed structure
  • approximate simple structure

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